🚫 Applying a Causal Attention Mask – Live Coding with Sebastian Raschka (Chapter 3.5.1)

Описание: Check out Sebastian Raschka's book 📖 Build a Large Language Model (From Scratch) | https://hubs.la/Q03l0mSf0 📖

In this practical coding session, acclaimed ML author ‪@SebastianRaschka‬ demonstrates how to implement a causal attention mask — a vital component in autoregressive transformer models. Covering Chapter 3.5.1 of his book Build a Large Language Model (From Scratch), this video shows how to ensure that a token only attends to itself and earlier tokens during training.

0:00 - Introduction
0:58 - Causal Attention Mask Explained
3:01 - Implementing a Causal Self-Attention Class
7:16 - Simplifying Mask Application
11:11 - Preview of Upcoming Content

📘 About the Book
Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself!

💡 Ideal for ML engineers, NLP researchers, and developers building generative language models.

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